Objective: We aimed to find the optimal cut-off scores for screening of odor detection threshold, odor discrimination, and odor identification tests for detection of mild cognitive impairment (MCI) and dementia in Korean elderly. Methods: A total of 195 elderly people were divided into three groups: the normal cognition (NC), MCI, and dementia groups. All participants underwent neurocognitive and olfactory function tests. We used k-means cluster analysis and receiver operating characteristic (ROC) analysis to identify the most appropriate cut-off value. Results: To distinguish the MCI from NC groups, odor identification [area under the curve (AUC)=0.670, p<0.007] with a cut-off point of 7 showed greater validity for screening (sensitivity/specificity=0.462/0.837) than did other olfactory function tests. To distinguish the MCI and dementia from NC as well, odor identification (AUC=0.817, p=0.002) with a cut-off point of 7 showed the highest validity for screening (0.785/0.654). To distinguish MCI from AD, an odor detection threshold (AUC=0.722, p=0.001) with a cut-off point of 2 showed the highest validity for screening (0.785/0.654). Conclusion Olfactory function tests may be a useful screening tool for cognitive decline before clinical symptoms of dementia have completely developed. This tool can be used as a supplementary tool to enhance the sensitivity of traditional cognitive tests to screen for dementia.

PURPOSE: According to American Society of Clinical Oncology/College of American Pathologists guidelines, breast cancer is human epidermal growth factor receptor 2 (HER2) positive if there is HER2 protein overexpression at a 3+ level on immunohistochemistry (IHC 3+) or gene amplification (more than six copies per nucleus) on fluorescence in situ hybridization (FISH+). However, there have been few reports on whether outcomes differ based on diagnosis by these two techniques. In this study, we compared outcomes based on the two methods in patients with HER2-positive breast cancer. METHODS: This study was a retrospective analysis of HER2-positive breast cancer in 18,304 patients, including 14,652 IHC 3+ patients and 3,652 FISH+ patients from the Korean Breast Cancer Society Registry. We compared breast cancer-specific survival and overall survival based on IHC 3+ and FISH+ status with or without trastuzumab. RESULTS: Breast cancer-specific survival was significantly different between the IHC 3+ and FISH+ groups, with 5-year cumulative survival rates of 95.0% for IHC 3+ and 98.5% for FISH+ patients who did not receive trastuzumab (p=0.001) in Kaplan-Meier methods. However, there were no significant differences in breast cancer-specific survival and overall survival between IHC 3+ and FISH+ groups regardless of trastuzumab treatment in Cox proportional hazards models. CONCLUSION: The survival outcomes were not affected by the different two diagnostic methods of HER2-positive breast cancer. Further research to evaluate differences in prognosis and other characteristics according to the diagnostic methods of HER2 positivity is needed in the future.
Breast Neoplasms* ; Breast* ; Diagnosis ; Epidermal Growth Factor* ; Fluorescence ; Gene Amplification ; Humans* ; Immunohistochemistry ; In Situ Hybridization ; Methods* ; Prognosis ; Proportional Hazards Models ; Receptor, Epidermal Growth Factor* ; Receptor, ErbB-2 ; Retrospective Studies* ; Survival Rate ; Trastuzumab

This study intended to identify the need for the legalization and development of a systematic program for physician assistants (PAs) by understanding the actual state of PA operation in hospitals. In 114 hospitals assigned as resident training hospitals for surgery, a survey was conducted on the personnel working as PAs in those hospitals; the survey included general personal information, working conditions, training time, and satisfaction. A total of 192 PAs in surgery at 35 hospitals responded to the survey. The types of PAs are Surgical Assistant, Clinical Physician Assistant, Wound Ostomy Care Nurse, Coordinator, and Clinical Research Coordinator. Types of work PAs preformed are surgical assistance, wound dressing, educating patients, overlooking consultation, doing paper works, writing operation records, and confirming examination results which were ordered. The satisfaction level for the position which PAs hold were 29.1% and and satisfaction level which doctors see towards PA was 15%. The role and the job descriptions of PAs are not clear cut, there are many discrepancies among hospitals we studied. As a result, legalization and the implementation of standardized role of PAs will lead to increase level of satisfactions in the work force and the quality of work which PAs perform will be greater.
Adult ; Female ; General Surgery ; Humans ; Job Description ; Male ; Physician Assistants/*statistics & numerical data ; Questionnaires ; Republic of Korea ; Task Performance and Analysis ; Workload

PURPOSE: We tried to select and validate the candidate gene for the prognostic marker of breast cancer by comparing the analysis of copy number variation (CNV) between normal breast tissues and breast cancer tissues by performing array comparative genomic hybridization (CGH). METHODS: Array CGH was performed with using the fresh frozen tissues of 77 breast cancer patients. We selected the clones with more than a 20% frequency of gain or loss, and the clones with gain or loss in more than 2 consecutive clones. We finally selected the clones that were statistically significant on the survival analysis. We searched for the candidate gene that belonged to the candidate clones and we selected the final candidate gene that is assumed to be most related to the carcinogenesis of breast cancer by searching for information of the individual gene. We performed RT-PCR to validate the RNA expression of the final candidate gene with using the breast tissues of another 20 breast cancer patients. RESULTS: Eleven (10 in the gain group and 1 in the loss group) clones were finally selected as candidate clones. The significant CNVs with gain were found in the regions of 1q23.1, 1q41, 1q44, 5p15.33, 8q21.3, 15q26.3, 17q12 and 21q22.3 and the significant CNV with loss was found in 14q32.33. COL18A1 (21q22.3) was selected as the final candidate gene and the RT-PCR results revealed that the expression of COL18A1 was up-regulated in the cancer tissues of 18 of the other 20 (90%) breast cancer patients. CONCLUSION: We selected COL18A1 (21q22.3) as the candidate gene for the prognostic marker of breast cancer by comparing the analysis of CNVs from the array CGH. The RNA of COL18A1 was over-expressed in breast cancer tissue, as determined by RT-PCR.
Breast ; Breast Neoplasms ; Clone Cells ; Coat Protein Complex I ; Collagen Type XVIII ; Comparative Genomic Hybridization ; DNA ; DNA Copy Number Variations ; Gene Amplification ; Humans ; Microarray Analysis ; RNA

PURPOSE: We tried to select and validate the candidate gene for the prognostic marker of breast cancer by comparing the analysis of copy number variation (CNV) between normal breast tissues and breast cancer tissues by performing array comparative genomic hybridization (CGH). METHODS: Array CGH was performed with using the fresh frozen tissues of 77 breast cancer patients. We selected the clones with more than a 20% frequency of gain or loss, and the clones with gain or loss in more than 2 consecutive clones. We finally selected the clones that were statistically significant on the survival analysis. We searched for the candidate gene that belonged to the candidate clones and we selected the final candidate gene that is assumed to be most related to the carcinogenesis of breast cancer by searching for information of the individual gene. We performed RT-PCR to validate the RNA expression of the final candidate gene with using the breast tissues of another 20 breast cancer patients. RESULTS: Eleven (10 in the gain group and 1 in the loss group) clones were finally selected as candidate clones. The significant CNVs with gain were found in the regions of 1q23.1, 1q41, 1q44, 5p15.33, 8q21.3, 15q26.3, 17q12 and 21q22.3 and the significant CNV with loss was found in 14q32.33. COL18A1 (21q22.3) was selected as the final candidate gene and the RT-PCR results revealed that the expression of COL18A1 was up-regulated in the cancer tissues of 18 of the other 20 (90%) breast cancer patients. CONCLUSION: We selected COL18A1 (21q22.3) as the candidate gene for the prognostic marker of breast cancer by comparing the analysis of CNVs from the array CGH. The RNA of COL18A1 was over-expressed in breast cancer tissue, as determined by RT-PCR.
Breast ; Breast Neoplasms ; Clone Cells ; Coat Protein Complex I ; Collagen Type XVIII ; Comparative Genomic Hybridization ; DNA ; DNA Copy Number Variations ; Gene Amplification ; Humans ; Microarray Analysis ; RNA